Evidence map›Paper›PMID 24294210›Full record

ArticleFrontiers in neurology2013

Causality within the Epileptic Network: An EEG-fMRI Study Validated by Intracranial EEG.

Anna Elisabetta Vaudano, Pietro Avanzini, Laura Tassi, Andrea Ruggieri, Gaetano Cantalupo, Francesca Benuzzi, Paolo Nichelli, Louis Lemieux, Stefano Meletti

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 citations in OpenAlex.

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  9. Neuronal network models of epileptogenesis.Neurosciences (Riyadh, Saudi Arabia) · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Anna Elisabetta VaudanoDepartment of Biomedical Sciences, Metabolism, and Neuroscience, NOCSE Hospital, University of Modena and Reggio Emilia , Modena , Italy ; Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery , London , UK.
Pietro Avanzini
Laura Tassi
Andrea Ruggieri
Gaetano Cantalupo
Francesca Benuzzi
Paolo Nichelli
Louis Lemieux
Stefano Meletti
University of Modena and Reggio Emilia · ITUniversity College London · GBUniversity of Parma · ITUniversity of Verona · IT

Funding

Medical Research Council G0200216Medical Research Council G0301067
6 · The paper itself

Abstract

Accurate localization of the Seizure Onset Zone (SOZ) is crucial in patients with drug-resistance focal epilepsy. EEG with fMRI recording (EEG-fMRI) has been proposed as a complementary non-invasive tool, which can give useful additional information in the pre-surgical work-up. However, fMRI maps related to interictal epileptiform activities (IED) often show multiple regions of signal change, or "networks," rather than highly focal ones. Effective connectivity approaches like Dynamic Causal Modeling (DCM) applied to fMRI data potentially offers a framework to address which brain regions drives the generation of seizures and IED within an epileptic network. Here, we present a first attempt to validate DCM on EEG-fMRI data in one patient affected by frontal lobe epilepsy. Pre-surgical EEG-fMRI demonstrated two distinct clusters of blood oxygenation level dependent (BOLD) signal increases linked to IED, one located in the left frontal pole and the other in the ipsilateral dorso-lateral frontal cortex. DCM of the IED-related BOLD signal favored a model corresponding to the left dorso-lateral frontal cortex as driver of changes in the fronto-polar region. The validity of DCM was supported by: (a) the results of two different non-invasive analysis obtained on the same dataset: EEG source imaging (ESI), and "psycho-physiological interaction" analysis; (b) the failure of a first surgical intervention limited to the fronto-polar region; (c) the results of the intracranial EEG monitoring performed after the first surgical intervention confirming a SOZ located over the dorso-lateral frontal cortex. These results add evidence that EEG-fMRI together with advanced methods of BOLD signal analysis is a promising tool that can give relevant information within the epilepsy surgery diagnostic work-up.

Indexed as

dynamic causal modelingEEGeffective connectivityepilepsy surgeryfMRIfunctional neuroimagingintracerebral recordingsseizure onset zone

Identifiers

PMID24294210
PMCPMC3827676
OpenAlexW2014259041

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.